DR MAURIZIO FILIPPONE
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AXA Chair of Computational Statistics and Associate Professor at EURECOM

Address:
Campus SophiaTech
450 Route des Chappes
06410 Biot, FRANCE

Office: 419

Phone: +33 4 93 00 81 35

Email Address: maurizio.filippone [at] eurecom.fr

Book time with me on: youcanbook.me

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Word cloud research


NEWS

06-12-22  Webinar with the discussion of the Bayesian Analysis paper "Deep Gaussian Processes for Calibration of Computer Models". (link)

30-11-22  Poster presentation at NeurIPS of our JMLR paper "All You Need is a Good Functional Prior for Bayesian Deep Learning" (link)

24-10-22  Talk at the workshop on Statistical Deep Learning Functional priors for Bayesian deep learning (link)

17-10-22  I will visit Data61 in Sydney and University of Wollongong over the next two weeks.

21-06-22  The paper "Deep Gaussian Processes for Calibration of Computer Models" has been selected to be a discussion paper! (pdf)

15-05-22  The paper "Revisiting the Effects of Stochasticity for Hamiltonian Samplers" has been accepted at ICML 2022! (pdf)

25-03-22  The paper "All You Need is a Good Functional Prior for Bayesian Deep Learning" will appear in JMLR! (pdf)

28-09-21  The paper "Model Selection for Bayesian Autoencoders" has been accepted at NeurIPS 2021! (pdf)

15-09-21  The paper "Deep Gaussian Processes for Calibration of Computer Models" has been accepted in the Bayesian Analysis journal! (pdf)

08-05-21  Two papers accepted at ICML 2021 (link)

30-01-21  The paper "Deep Compositional Spatial Models" has been accepted in the Journal of the American Statistical Association! (pdf) (link)

23-01-21  The paper "Sparse Gaussian Processes Revisited: Bayesian Approaches to Inducing-Variable Approximations" has been accepted at AISTATS 2021! (pdf)

25-11-20  Check out our new paper "All You Need is a Good Functional Prior for Bayesian Deep Learning" (link)

11-11-20  Check out our new paper "Sparse within Sparse Gaussian Processes using Neighbor Information" (link)

19-10-20  Check out our new paper "An Identifiable Double VAE For Disentangled Representations" (link)

26-09-20  The paper "Walsh-Hadamard Variational Inference for Bayesian Deep Learning" has been accepted at NeurIPS 2020! (pdf) (code)

09-06-20  Check out our new paper "Isotropic SGD: a Practical Approach to Bayesian Posterior Sampling" (link)

08-06-20  Check out our new paper "A Variational View on Bootstrap Ensembles as Bayesian Inference" (link)

04-06-20  The paper "Model Monitoring and Dynamic Model Selection in Travel Time-series Forecasting" has been accepted at ECML/PKDD 2020! (pdf)

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